MRI Technical Engineer

Core Responsibilities

• Technical Development – Pulse Sequence (OGSE/OGD)
• Refine and extend existing OGSE pulse sequence code in the Philips research environment.
• Implement additional features, improve robustness, and ensure correct sequence functionality.
• Support deployment and on-scanner integration on Philips MRI systems.
• Contribute to related data processing and image reconstruction workflows when required.
• Image Reconstruction & Software Development (FLORET / Non-Cartesian)
• Implement and validate non-Cartesian MRI reconstruction pipelines (including those supporting FLORET UTE acquisitions).
• Support software deployment and integration of reconstruction tools within Philips research systems.
• Refined reconstruction workflows, add new features, and improve system interfaces and usability.
• Perform data validation and quality checks; evaluate reconstruction stability and artifact behavior.
• Experimental Collaboration & Validation
• Carefully plan experiments with Vanderbilt researchers, Cincinnati Children’s teams, and clinical MRI staff.
• Support execution of scanner experiments as needed.
• Aid in validating OGSE and FLORET acquisition outputs through systematic testing and comparative analysis.
• Prepare technical validation summaries/reports and ensure outputs align with program deliverables and milestones.
• Document results, assumptions, and change histories with strong discipline.

Qualifications

• Strong familiarity with vendor-specific MRI pulse sequence programming (preferably Philips research environments).
• Solid foundations in MRI reconstruction, including non-Cartesian methods, and software engineering.
• Hands-on experience with C++ / Python / MATLAB for algorithm and tooling development.
• Ability to collaborate effectively across industry and academic partners; clear written and verbal communication.
• Proven ability to operate under hardware constraints and in structured, sprint-based execution models.
• Master’s or PhD in MRI Physics, Biomedical Engineering, Medical Physics, Electrical Engineering, Computer Science, or related field (preferred).
• Experience with Philips MRI research environments (e.g., research interfaces, integration workflows).
• Exposure to OGSE/OGD diffusion methods and/or FLORET UTE imaging (deep expertise not required).
• Experience with MRI data processing, QA/QC, and validation workflows.